Journal Articles by B. Pedroni


G. Detorakis, S. Sheik, C. Augustine, S. Paul, B. U. Pedroni, N. Dutt, J. Krichmar, G. Cauwenberghs, et al.
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
Frontiers in Neuroscience, 12, 2018
URL, DOI, RIS, BibTex
E. O. Neftci, B. U. Pedroni, S. Joshi, M. Al-Shedivat, and G. Cauwenberghs
Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines
Frontiers in Neuroscience, 10(241), 2016
DOI, RIS, BibTex
E. Neftci, S. Das, B. Pedroni, K. Kreutz-Delgado, and G. Cauwenberghs
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems
Frontiers in Neuroscience, 7(272), 2014
DOI, RIS, BibTex

Conference Papers


B. U. Pedroni, S. Sheik, S. Joshi, G. Detorakis, S. Paul, C. Augustine, E. Neftci, and G. Cauwenberghs
Forward Table-Based Presynaptic Event-Triggered Spike-Timing-Dependent Plasticity
2016
RIS, BibTex
P. U. Diehl, G. Zarrella, A. Cassidy, B. Pedroni, and E. Neftci
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware
International Conference on Rebooting Computation (ICRC), 2016, 2016
RIS, BibTex
P. U. Diehl, B. U. Pedroni, A. Cassidy, P. Merolla, E. Neftci, and G. Zarrella
TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth
arXiv:1601.04183, 2016
RIS, BibTex
B. Pedroni, S. Das, E. Neftci, K. Kreutz-Delgado, and G. Cauwenberghs
Neuromorphic Adaptations of Restricted Boltzmann Machines and Deep Belief Networks
International Joint Conference on Neural Networks, {IJCNN} 2013, 2013
RIS, BibTex

Posters


E. Neftci, S. Das, B. Pedroni, K. Kreutz-Delgado, and G. Cauwenberghs
Restricted Boltzmann Machines and Continuous-time Contrastive Divergence in Spiking Neuromorphic Systems
20th Joint Symposium on Neural Computation, 2013
RIS, BibTex